Science and Technology
Carsten Marr
Institute of Arts and Society, Cross-Disciplinary Strategies
2025S, scientific seminar (SEW), 4.0 ECTS, 2.0 semester hours, course number S05327
Description
The use of artificial intelligence (AI) is transforming essential aspects of our lives. In biomedical and clinical research, AI models are being trained to perform expert tasks in standardized and automated ways. This development raises not only medical, but also ethical and legislative questions that society must address.
In this course, we will:
- Learn fundamental concepts of AI, machine learning, and mathematical modeling.
- Study applications of these technologies in biomedicine through current publications.
- Collaboratively develop ideas on how to address and present important and controversial topics in this field.
Students will gain comprehensive insights into the possibilities and challenges of AI in biomedicine and develop critical thinking skills regarding the societal impacts of these technologies.
Examination Modalities
Participants will be evaluated based on course presence, participation in discussions, and their project presentations
Comments
Please bring your laptops!
Some reading on the topic:
- Eric Topol: Deep Medicine
- https://www.newyorker.com/magazine/2019/07/22/the-promise-and-price-of-cellular-therapies
- https://www.science.org/doi/10.1126/science.aax2342
Key Words
biomedicine, artificial intelligence, mathematical models, data analysis, deep neural networks
Dates
05 May 2025, 10:00–16:00 CDS Seminar Room
07 May 2025, 10:00–14:30 KUG Lecture Room PSK 149
08 May 2025, 10:00–16:30 KUG Lecture Room PSK 149
09 May 2025, 10:00–16:00 KUG Lecture Room PSK 149
Course Enrolment
From 03 February 2025, 00:00
Via online registration
Curriculum Allocation
Cross-Disciplinary Strategies (Master): Study Areas 1-3: Study Area 2: Science and Technology 569/020.20
Co-registration: possible
Attending individual courses: possible